ArticleBMC public health2011
A review of mathematical models of influenza A infections within a host or cell culture: lessons learned and challenges ahead.
Article in BMC public health, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers.
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Who cites it
108 citing papers in PubMed.
- Viral Dynamic Model-Informed Dose Selection of Mosnodenvir Prophylaxis against DENV-3 in a Controlled Human Infection Model.Clinical pharmacology and therapeutics · 2026Trial
- Heterogeneous immune recovery after viral response through a dynamical model of feedback-driven persistence and clearance.Frontiers in immunology · 2026Article
- Review
- Spatially structured models of viral dynamics: a scoping review.Microbiology and molecular biology reviews : MMBR · 2025Article
- CrossLabFit: A novel framework for integrating qualitative and quantitative data across multiple labs for model calibration.PLoS computational biology · 2025Article
- Optimal vaccination model of airborne infection under variable humidity and demographic heterogeneity for hybrid fractional operator technique.Scientific reports · 2025Article
- In depth sequencing of a serially sampled household cohort reveals the within-host dynamics of Omicron SARS-CoV-2 and rare selection of novel spike variants.PLoS pathogens · 2025Article
- Mathematical Model of Influenza Infection Suggests JAK-STAT Activity Drives Severe Pathologies in Juvenile Mice.Frontiers in applied mathematics and statistics · 2025Article
- Influenza A virus within-host evolution and positive selection in a densely sampled household cohort over three seasons.bioRxiv : the preprint server for biology · 2024Article
- Mathematical model calibrated toiScience · 2024Article
- A novel simulation-based analysis of a stochastic HIV model with the time delay using high order spectral collocation technique.Scientific reports · 2024Article
- How robust are estimates of key parameters in standard viral dynamic models?PLoS computational biology · 2024Article
- Quantifying the relationship between within-host dynamics and transmission for viral diseases of livestock.Journal of the Royal Society, Interface · 2024Article
- Mathematical Modeling of Virus-Mediated Syncytia Formation: Past Successes and Future Directions.Results and problems in cell differentiation · 2024Review
- Influenza A virus within-host evolution and positive selection in a densely sampled household cohort over three seasons.Virus evolution · 2024Article
- Modelling the impact of JNJ-1802, a first-in-class dengue inhibitor blocking the NS3-NS4B interaction, on in-vitro DENV-2 dynamics.PLoS computational biology · 2023Article
- Influence of cell type specific infectivity and tissue composition on SARS-CoV-2 infection dynamics within human airway epithelium.PLoS computational biology · 2023Article
- The race to understand immunopathology in COVID-19: Perspectives on the impact of quantitative approaches to understand within-host interactions.Immunoinformatics (Amsterdam, Netherlands) · 2023Review
- Utility of HumanJournal of virology · 2023Article
- Predicting Influenza A Virus Infection in the Lung from Hematological Data with Machine Learning.mSystems · 2022Article
48 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Most mathematical models used to study the dynamics of influenza A have thus far focused on the between-host population level, with the aim to inform public health decisions regarding issues such as drug and social distancing intervention strategies, antiviral stockpiling or vaccine distribution. Here, we investigate mathematical modeling of influenza infection spread at a different scale; namely that occurring within an individual host or a cell culture. We review the models that have been developed in the last decades and discuss their contributions to our understanding of the dynamics of influenza infections. We review kinetic parameters (e.g., viral clearance rate, lifespan of infected cells) and values obtained through fitting mathematical models, and contrast them with values obtained directly from experiments. We explore the symbiotic role of mathematical models and experimental assays in improving our quantitative understanding of influenza infection dynamics. We also discuss the challenges in developing better, more comprehensive models for the course of influenza infections within a host or cell culture. Finally, we explain the contributions of such modeling efforts to important public health issues, and suggest future modeling studies that can help to address additional questions relevant to public health.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.